Organizers

	Min Sun, Assistant Professor in Electrical Engineering at National Tsing Hua University [Google Scholar]
	Ming-Yu Liu, Senior Research Scientist at Nvidia Research [Google Scholar]

Tutorial Length

Date: Nov. 24, 2016
Time: 2-5pm
Location: Room 101B

Schedule

2-3pm
Introduction to deep learning in computer vision
We will introduce the standard supervised deep learning model such as CNN and RNN. The introduction will include: a brief history of the development of both models, their model architectures and intuition, training methods and tips for learning a good model.

3-4pm
Deep learning for vision and language
We will introduce a number of recent works related to image captioning, image question answering, video captioning, and video question answering. Our introduction includes new deep learning models to combine vision and language, popular dataset, and future challenges. [Slides]

4-5pm
Deep learning for image generation
We will introduce a number of recent deep learning works on image generation. Various practical algorithm design issues will be discussed. Particularly. we will highlight the generative adversarial network problem. [Slides]